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All Journal PROtek : Jurnal Ilmiah Teknik Elektro Jurnal Dinamika Pengabdian (JDP) JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Jurnal SOLMA Informatika Jambura Journal of Electrical and Electronics Engineering Teknik: Jurnal Ilmu Teknik dan Informatika Jurnal Manajemen dan Teknologi Informasi PROSISKO : Jurnal Pengembangan Riset dan observasi Rekayasa Sistem Komputer Sci-Tech Journal Jurnal Mosfet Jurnal Sintaks Logika (JSilog) Jurnal Sains dan Ilmu Terapan Surya Informatika Jurnal Manajemen Informatika, Sistem Informasi dan Teknologi Komputer (JUMISTIK) Poltekita: Jurnal Pengabdian Masyarakat Arunika: Jurnal Pengabdian Masyarakat
Untung Suwardoyo
Teknik Informatika, Universitas Muhammadiyah Parepare
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Library & Information Science Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Journal : Informatika

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Pengembangan Sistem Absensi Berbasis Real-Time Face Recognation Di Lingkungan Sekolah Menggunakan You Only Look Once (Yolo) Asli, Rahmat Fardi; Selao, Ahmad; Suwardoyo, Untung
Jurnal Informatika Vol 12, No 3: INFORMATIKA
Publisher : Fakultas Sains & Teknologi, Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/informatika.v12i3.7968

Abstract

The increasing demand for efficient and reliable student attendance systems highlights the limitations of conventional manual methods, which are often time-consuming, prone to fraud, and lack accuracy. This study develops a real-time attendance system based on facial recognition using the YOLOv8 deep learning model integrated with TensorFlow. The system is designed to automatically detect and recognize students’ faces through a webcam and record attendance data in real time. The research method involved three main stages: face registration, model training, and attendance recording. A dataset of 4,200 face images from 14 students was collected to train the model. The recognition process used cosine similarity with a threshold of 0.7 to balance accuracy and avoid false recognition. The results showed that the system could effectively recognize student faces under varying lighting and expression conditions with high accuracy, while also recording attendance automatically and reliably. The system proved to be efficient in reducing time consumption, minimizing fraud, and ensuring more accurate attendance records. This study demonstrates that YOLOv8-based face recognition can provide an effective solution for modernizing school attendance management.
Pengembangan Evidence Monitoring Tingkat PH dan Kekeruhan Air Untuk Menentukan Kelayakan Konsumsi Air Fatri, Andi; Basri, Muhammad; Suwardoyo, Untung
Jurnal Informatika Vol 12, No 3: INFORMATIKA
Publisher : Fakultas Sains & Teknologi, Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/informatika.v12i3.7918

Abstract

Development of Evidence Monitoring of PH Levels And Water Turbidity to Determine the Feasibility of Water Consumption. (Supervised by Muhammad Basri and Untung Suwardoyo). The most common method for detecting water quality parameters is by manually collecting samples and sending them to a laboratory for detection and analysis. However, with the advancement of time and technology, this method has become somewhat less relevant due to its manual nature. For that reason, a study was conducted titled "Development of Evidence-Based Monitoring for pH and Turbidity Levels to Determine Drinking Water Feasibility." This study aims to develop a monitoring process that also simplifies the assessment of water feasibility through an automated system, making the process more efficient and relevant. This monitoring system uses two indicators: turbidity and pH. The system is developed using a pH sensor SEN0161-V2 and a turbidity sensor DF Robot-SEN0189, with an ESP32 microcontroller.(Permenkes RI, 2010) It is designed to monitor changes in values in real time, which are then displayed through an Android application. The device is also equipped with a filtration system. Test results showed a change in turbidity levels from an initial value of 29.8 NTU (not suitable for consumption) to 4.8 NTU (suitable for consumption), within a water filtration cycle duration of 24 minutes and 56 seconds.
Co-Authors Abd. Jabbar, A. Ade Hastuty Ahmad Salim K ahmad selao Almauna, Elawati Andi Wafiah Anggita Arfina Arfah Anshariah Ashadi Amir Asli, Rahmat Fardi Ayu Dwi Putri Rusman Bahruddin Bahruddin Basri, Muh. Dwiyana, Asnurbaety Dwiyanti, Dya fahriyanto, fery Fatmawati, Fatmawati Fatri, Andi Firdamayanti Firdamayanti Fitrawati Harianto Joni Harsani, Harsani Helmiana, Helmiana Herman, Herwin Iradhatullah Rahim Irmayani Pawelloi Irmayani, Andi Irninthya Nanda Pratami Irwan jabbar, A.abd. Jabir, Haryanto Jasmawati, Jasmawati Marlina Masnur Masnur Masnur Mayasari Yamin, Mayasari Mughaffir Yunus Muh Rusli Muh Sabran M, Andi Muhammad Basri Muhammad Basri Muhammad Basri Mutianniza, SY. Zakia Nasriani Nasriani Nisma, Nismawati Natsir Nur, Muhammad Purqan Nurbaya Nurbaya, Nurbaya Nurul Fadillah Pawelloi, A. Irmayani Putra, Rezki Dwi Raden Wirawan Rafikil, Dias Rahmawati, Rahmawati Rayhan Fauzan Rifaldi Rifaldi Riswan Rosima, Irma Salim K, Ahmad Sanjani MK, Raf Sarina Sarina sarti, kiki yustika Selao, Ahmad Sri Nur Qadri Suherman, Suherman Suherman, Suherman Sukmawati Sukmawati Surya Ayu Nengsih, Febby Syamsiar Zamzam Syawal, Fajar Taufik Taufik Taufiq, Muh. Wahyuddin Wahyuddin Wahyuddin Wahyuddin Y, Alauddin Yasri Tarawiru